Journal of Affective Disorders 148 (2013) 435–439 Contents lists available at SciVerse ScienceDirect Journal of Affective Disorders journal homepage: www.elsevier.com/locate/jad Brief Report Risk factors associated with repetition of self-harm in black and minority ethnic (BME) groups: A multi-centre cohort study Jayne Cooper a,n, Sarah Steeg a, Roger Webb a, Suzanne L.K. Stewart d, Eve Applegate a, Keith Hawton b, Helen Bergen b, Keith Waters c, Navneet Kapur a a Centre for Mental Health and Risk, University of Manchester, Jean McFarlane Building, Oxford Road, Manchester M13 9PL, UK Centre for Suicide Research, University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford OX3 7JX, UK c Mental Health Liaison Team, Rehabilitation Centre, Royal Derby Hospital, Derbyshire Healthcare NHS Foundation Trust, Derby, UK d Department of Psychology, University of Chester, Parkgate Road, Chester, CH1 4BJ, UK b a r t i c l e i n f o abstract Article history: Received 6 January 2012 Received in revised form 19 September 2012 Accepted 6 November 2012 Available online 8 December 2012 Background: Little information is available to inform clinical assessments on risk of self-harm repetition in ethnic minority groups. Methods: In a prospective cohort study, using data collected from six hospitals in England for self-harm presentations occurring between 2000 and 2007, we investigated risk factors for repeat self-harm in South Asian and Black people in comparison to Whites. Results: During the study period, 751 South Asian, 468 Black and 15,705 White people presented with self-harm in the study centres. Repeat self-harm occurred in 4379 individuals, which included 229 suicides (with eight of these fatalities being in the ethnic minority groups). The risk ratios for repetition in the South Asian and Black groups compared to the White group were 0.6, 95% CI 0.5–0.7 and 0.7, 95% CI 0.5–0.8, respectively. Risk factors for repetition were similar across all three groups, although excess risk versus Whites was seen in Black people presenting with mental health symptoms, and South Asian people reporting alcohol use and not having a partner. Additional modelling of repeat self-harm count data showed that alcohol misuse was especially strongly linked with multiple repetitions in both BME groups. Limitations: Ethnicity was not recorded in a third of cases which may introduce selection bias. Differences may exist due to cultural diversity within the broad ethnic groups. Conclusion: Known social and psychological features that infer risk were present in South Asian and Black people who repeated self-harm. Clinical assessment in these ethnic groups should ensure recognition and treatment of mental illness and alcohol misuse. & 2012 Elsevier B.V. All rights reserved. Keywords: Self-harm Ethnic minority Repetition Risk factors 1. Introduction Rates and risk factors for self-harm and suicide vary amongst Black and Minority ethnic (BME) groups within the UK compared to White groups, including between different age and sex groups (Bhui et al., 2007; Cooper et al., 2010). Higher rates of self-harm have previously been reported in South Asian females compared to South Asian males or White females (Cooper et al., 2006; Bhui et al., 2007). In a more recent study based on the Multicentre Study of Self-harm in England we found that rates of self-harm were highest in young Black females (pooled rate ratio for Black females aged 16–34 years compared with White females 1.70, 95% CI 1.5–2.0) (Cooper et al., 2010). BME groups experience socioeconomic inequalities which have been linked to subsequent n Corresponding author. Tel.: þ44 161 275 0718; fax: þ 44 161 2750716. E-mail address: [email protected] (J. Cooper). 0165-0327/$ - see front matter & 2012 Elsevier B.V. All rights reserved. http://dx.doi.org/10.1016/j.jad.2012.11.018 inequalities in health (Nazroo et al., 2007), and racial/ethnic discrimination has a strong association with common mental disorders. (Bhugra and Arya, 2005). Little is known about risk factors for repetition of self-harm in BME groups that can be used to facilitate appropriate clinical management and suicide prevention measures (Kapur et al., 2006). We aimed to identify risk factors for repeat self-harm in Black and South Asian people, the largest ethnic minority groups in the UK, following an index selfharm presentation to hospital emergency departments (EDs) in three centres in England. 2. Methods A prospective cohort study was carried out using data collected from six hospitals in Manchester (3), Oxford (1) and Derby (2) for self-harm presentations occurring between 2000 and 2007. An established monitoring system in each centre was used to 436 J. Cooper et al. / Journal of Affective Disorders 148 (2013) 435–439 retrieve data, as described in detail previously (Cooper et al., 2010; Bergen et al., 2010a). Self-harm attendances were identified via detailed examination of computerised emergency department records and defined consistently across all three centres as intentional self-poisoning or self-injury, irrespective of motivation and degree of suicidal intent. Most participants received a psychosocial assessment, and clinicians recorded a wide range of sociodemographic and clinical information using research assessment forms. For participants who were not assessed, basic information was collected by research clerks from medical records. Ethnicity was ascribed by the treating clinician at time of admission according to standard UK national 2001 census categories, or later attributed using information from ED patient record systems. For analysis purposes, we were interested in three broad groups: Black people, (Black African-Caribbean and Black Other), South Asian people (Indian, Pakistani and Bangladeshi origin) and White people as a reference group. A lower age limit of 16 years was applied as service provision for under 16-year-olds differs from that in over 16-year-olds. We used a comprehensive data-linkage process (Murphy et al., 2012) to identify repeat self-harm and subsequent suicides. The Medical Research Information Service identified deaths that occurred in the UK by suicide (ICD-10 codes X60 to X84) and undetermined cause (ICD-10 codes Y10 to Y34 excluding Y33.9) up to December 2009. These were included in the ‘repeater’ group. 2.1. Ethical considerations Oxford and Derby both have approval from local National Health Service (NHS) research ethics committees to collect data on selfharm for local monitoring and multicentre projects. The monitoring of self-harm in Manchester is part of a clinical audit system and has been ratified as such by local research ethics committees. Thus, formal ethics committee approval was not required for that centre. All centres are fully compliant with the UK Data Protection Act 1998, and have support under section 251 of the NHS Act 2006 regarding the use of patient-identifiable information. 3. Analysis All analyses were performed using STATA v10 (Statacorp, 2007). We calculated risk ratios for first episode repetition in the South Asian and Black groups compared to Whites using logbinomial regression models, adjusted for age, sex, method of harm and drugs used in self-poisoning (paracetamol/antidepressants/benzodiazepines) as potential confounders. We used Cox proportional hazard models to determine hazard ratios and their confidence intervals for repetition, for Black, South Asian and White individuals combined. Before taking any additional confounders into consideration, we fitted a 3-category ‘centre’ variable as a potential confounder in all of our regression models to account, as far as possible, for between-centre differences. Interaction terms were fitted to examine heterogeneity of factors associated with risk in the Black and South Asian groups verses Whites, and the significance of these terms were formally tested using Wald tests. Stratified analyses were carried out to obtain ethnic group-specific hazard ratios. Aggregated data were used in Poisson regression models to generate incidence rate ratios (IRRs) to examine variables associated with multiple episodes of repeated self-harm. A substantial proportion of these models showed overdispersion (using the alpha¼0 test as assessed in equivalent negative binomial regression models) (Gardner et al., 1995), so we generated IRRs based on negative binomial regression. We included up to ten repeat episodes within the study period for each individual, as in our previous research (Steeg et al., 2012). 4. Results Between 2000 and 2007, ethnicity was known in 17,324/ 25,328 (68.4%) individuals presenting to the participating EDs. Of these, 1619 (9.3%) were identified as being from an ethnic minority background: 751 from South Asian and 468 from a Black ethnic group. The remaining 400 individuals were from other ethnic groups and were not included because of small numbers in individual subgroups (including mixed, Chinese and other Asian origin). There were 15,705 Whites. Of the 4379 individuals in the study cohort who repeated self-harm, there were 8 suicides in the BME groups (Black: 2 males, 1 female; South Asian: 3 males, 2 females), and 213 suicides in the White group of which 65% were males. The risk ratios for repetition in the South Asian and Black groups compared to the White group separately, adjusting for baseline characteristics, were 0.6, 95% CI 0.5–0.7 and 0.7, 95% CI 0.5–0.8, respectively. The mean number of days to the first repeat ED presentation following an index self-harm episode was 293 for South Asian people (interquartile range 16–459; median¼92) and 366 for Black people (interquartile range 43–551; median 173) and 339 days for White people (interquartile range 30–476; median 152). Due to the skewed distributions we formally compared these median values: there was no significant difference between South Asian and White people (p¼0.21) or between Black and White people (p ¼0.73). Six factors were identified as having a significant effect in South Asians versus Whites (Table 1): not having a partner, problems with alcohol as a precipitant to the act, use of alcohol at the time of selfharm, self-harm in the past year, receiving psychiatric treatment at the time of the act and using cutting or stabbing as the method of self-harm. These variables all showed larger effect sizes in the South Asian group. There was one factor that emerged as having a different effect in the Black group versus Whites: problems with mental health as a direct precipitant to the self-harm which were more common in Black individuals who repeated. A sensitivity analysis was conducted to see if the results were altered by including the category ‘other’ ethnic group in the reference group, with the results remaining essentially unchanged. When we examined heterogeneity using negative binomial regression to take multiple repetitions into account, we found that problem use of alcohol as a precipitant to self-harm and alcohol use at the time of the act showed a much stronger effect in both BME groups than in the Cox proportional hazard models. Additionally, in South Asians, not having a partner and having self-harmed in the past year were found to be more strongly linked with multiple repetition than was the case for Whites Table 2. 5. Discussion To our knowledge this is the first study to examine risk factors for repetition of self-harm in South Asian and Black groups in the UK. The risk of repetition was significantly lower in the ethnic minority groups compared to the White group. We found that those who repeated in the South Asian and Black groups had social and clinical characteristics similar to patients who repeated in general (Kapur et al., 2006). This is in contrast to the varied profile of BME groups at their index episode of self-harm (Cooper et al., 2010). However there was some differentiation of risk factors for repetition between the groups. Increased risk of repetition compared to the White group was found in South Asians who did not have a partner, had problems with alcohol as a precipitant to the act, used alcohol at the time of self-harm, had previously self-harmed in the past year, were receiving psychiatric treatment at the time of the index episode and used cutting or stabbing as a method of self-harm. In the Black group, problems J. Cooper et al. / Journal of Affective Disorders 148 (2013) 435–439 437 Table 1 Cox proportional hazards models showing hazard ratios for time to repetition from index self-harm episode, with significant interactions between risk factor and ethnic group. Variableb White, Black and SA Repeaters (%) Total Sociodemographic: In employment or education Unemployed HRa (95% CI) 4379 (25.9) 3153 (24.7) 1226 (29.4) 1966 1.0 (23.6) 800 (30.1) 1.4 (1.3 to 1.5) Psychiatric treatment and previous self-harm: No self-harm in the past year 2410 (21.6) Self-harm in the past year 1184 (36.3) No previous self-harm Self-harm 41 year ago Not in current treatment In current treatment No previous treatment Any previous treatment Circumstances of the act: Self-poisoning involved Self-cutting/stabbing involved Alcohol used in the act P value for interaction term: SA vs. White Repeaters (%) HRa (95% CI) P value for interaction term: Black vs. White 79 (16.9) 1.3 (1.2 to 1.4) Lives with family/friends 674 (29.5) 834 (29.9) 1419 (20.8) 895 (24.0) HRa (95% CI) 1.0 807 (22.3) 1.0 2245 1.2 (1.1 to 1.3) (26.4) Factors precipitating self-harm: Problem alcohol use Mental health symptoms Relationship problems with partner Relationship problems with family/friend Repeaters (%) Black 107 (14.2) Married or partnered No partner Lives alone or homeless South Asian 21 (8.6) 63 (19.2) 1.0 2.4 (1.4 to 3.9) 0.006 1.2 (1.1 to 1.3) 10 (33.3) 1.2 (1.1 to 1.3) 0.7 (0.6 to 0.7) 2.9 (1.4 to 5.8) 0.009 18 (28.6) 2.1 (1.2 to 3.6) 0.03 0.9 (0.8 to 1.0) 1.0 53 (10.2) 1.9 (1.8 to 2.0) 30 (26.6) 2478 (23.0) 1116 (30.2) 1.0 1972 (20.8) 1888 (33.2) 1.0 1385 (17.7) 2401 (33.4) 1.0 1.0 2.9 (1.9 to 4.6) 0.05 1.3 (1.2 to 1.4) 54 (10.6) 1.7 (1.6 to 1.8) 36 (25.5) 1.0 2.7 (1.7 to 4.1) 0.03 2.1 (1.9 to 2.2) 3707 0.8 (0.7 to 0.9) 85 (12.9) (25.2) 753 (31.2) 1.3 (1.2 to 1.5) 21 (25.6) 2342 1.2 (1.1 to 1.3) 32 (25.6) (27.7) 0.5 (0.3 to 0.8) 0.04 2.3 (1.4 to 3.7) 0.03 2.7 (1.7 to 4.2) 0.0004 All statistically significant (Po 0.05) hazard ratios and interactions are highlighted in bold text; for the South Asian and Black groups, we present only those hazard ratios that were significantly different to the hazard ratio in the White group, according to formal testing of the statistical interaction term. When we conducted further analysis to see if the results were altered by fitting an interaction term ‘other’ ethnic group to the analysis in the combined group, we found the results remained essentially unchanged. a HRs are adjusted for centre Data are at least 84% complete for all variables except for marital status (South Asian 76% complete; Black 80% complete; White 71% complete), living arrangements (South Asian 69%; Black 75%; White 64%) and problems with alcohol misuse being a precipitant to the self-harm (South Asian 57%; Black 51%; White 68%). Variables where there was a small number of events within South Asian or Black groups (fewer than 10 individuals repeating) to perform a statistical test for interaction were excluded; these related to the following problems precipitating self-harm: relationship problems with those other than partner, friends or family, bereavement, employment/study problems, financial, housing or legal problems, problems due to drug misuse, physical health problems and abuse (physical, sexual or emotional). b with mental health as a direct precipitant to self-harm increased the risk of repetition. Factors associated with increased risk of repetition in the BME groups compared to the White group were less varied when including multiple repetitions by the same individual. However, this analytical approach, modelling selfharm repetition count data, accentuated the strength of association with alcohol misuse in both BME groups, and also not having a partner among South Asians. This is a large cohort study using data collected from three centres in England with comprehensively ascertained follow-up data on repetition of self-harm and completed suicide. However, we only collected data on self-harm attendances to hospital and did 438 J. Cooper et al. / Journal of Affective Disorders 148 (2013) 435–439 Table 2 Negative binomial regression models showing incidence rate ratios (IRRs) for self-harm repetition countsy following index self-harm episode, with significant interactions between risk factor and ethnic group. Variable b White, Black and SA Count of repeats IRRa (95% CI) South Asian Count of repeats Total 10 553 Sociodemographic: In employment or education Unemployed 7507 3046 1.0 1.2 (1.0 to 1.5) Married or partnered No partner 1697 5428 1.0 40 1.4 (1.3 to 1.4) 131 Lives with family/friends Lives alone or homeless 5428 2164 1.0 1.6 (1.5 to 1.8) 1715 2081 2858 1.4 (1.2 to 1.6) 54 1.4 (1.2 to 1.6) 0.6 (0.5 to 0.6) 2080 0.9 (0.8 to 1.1) Factors precipitating selfharm: Problem alcohol use Mental health symptoms Relationship problems with partner Relationship problems with family/friends Black IRRa (95% CI) p value for interaction term (SA vs. White) 232 Psychiatric treatment and previous self-harm: No self-harm in the past year 5224 1.0 Self-harm in the past year 3379 2.3 (2.1 to 2.5) 76 No previous self-harm Self-harm4 1 year ago 5878 2745 1.0 1.4 (1.2 to 1.7) Not in current treatment In current treatment 4227 5114 1.0 2.1 (1.8 to 2.4) No previous treatment Any previous treatment 2696 6383 1.0 2.5 (2.4 to 2.6) Circumstances of the act: Self-poisoning involved Self-cutting/stabbing involved Alcohol used in the act 8729 2054 5631 0.7 (0.7 to 0.7) 1.5 (1.5 to 1.6) 1.3 (1.2 to 1.3) 95 IRRa (95% CI) p value for interaction term (Black vs. White) 25 3.7 (2.2 to 6.3) o 0.001 66 2.3 (1.6 to 3.4) o 0.001 Count of repeats 127 2.4 (1.7 to 3.5) 0.01 8.8 (5.9 to 13.2) o0.001 3.3 (2.5 to 4.5) 0.01 4.3 (3.2 to 5.8) o0.001 All statistically significant (Po 0.05) IRRs and interactions are highlighted in bold text; for the South Asian and Black groups, we present only those IRRs that were significantly different to the IRR in the White group, according to formal testing of the statistical interaction term. a IRRs are adjusted for centre Data are at least 84% complete for all variables except for marital status (South Asian 76% complete; Black 80% complete; White 71% complete) and problems with alcohol misuse being a precipitant to the self-harm (South Asian 57%; Black 51%; White 68%). y A maximum of ten repeat episodes were included for each individual. b not record repeat episodes that did not come to the medical attention of the participating hospitals. Whilst the overall patient sample was large, the number of suicides in the BME groups was small and the number of repeaters within ethnic minority groups somewhat limited the study’s statistical power. It is probable that the smaller number of individuals in the Black group in particular resulted in fewer statistically significant interactions for this group. We included fatal self-harm repetitions (suicides) and non-fatal repetitions as one outcome group (‘repeaters’), because we considered it important not to exclude the suicides from the analysis. The suicides constituted only 5% of the whole outcome group and therefore did not exert any undue influence on the findings overall. Ethnicity is notoriously difficult to ascribe and, although we used broad categories which may have reduced error, this approach could have concealed differences between ethnic groups within the categories we used. The relatively large number of individuals for whom ethnicity was not recorded may have introduced a degree of selection bias. Although risk factors for repetition of self-harm appear to be broadly similar across ethnic groups, the specific heterogeneity findings need further explanation. It is unclear why mental health symptoms should be a stronger risk factor in Black people; it may be related to small numbers but could be due to differentiation in their perception of and amenability to treatment for depression (Cooper et al., 2010; Brown et al., 2011). Evidence of psychiatric morbidity was a strong risk factor in the South Asian group as was not having a partner, which may be an indication of mental instability and/or lack of social support. Perhaps the stigma attached to accessing psychiatric treatment (Bowl, 2007) means only the acutely ill re-present to hospital. The effect of alcohol misuse was stronger in South Asians, perhaps due to lower baseline prevalence for this risk factor. In the South Asian population people who drink may be more marginalised than those who drink in the White population. Problematic alcohol use within a small minority of South Asian groups and as a feature within the South Asian self-harm population has been demonstrated previously (Bhogal et al., 2006). Alcohol appears to be a problem in both BME groups for those who present with multiple episodes of self-harm. This adds weight to our recommendation that in BME groups, clinicians should ensure adequate recognition and treatment of mental illness and alcohol misuse at assessment. Our previous study (Cooper et al., 2010) showed that BME groups were least likely to receive a psychosocial assessment following presentation to hospital with self-harm and a specialist assessment has been shown to be protective in reducing repetition (Kapur et al., 2008; Bergen et al., 2010b). The findings from this study reinforce J. Cooper et al. / Journal of Affective Disorders 148 (2013) 435–439 governmental recommendations (National Institute for Health and Clinical Excellence (NICE), 2004) that all presentations should receive a psychosocial assessment and this should include BME groups. Barriers to accessing services for BME groups include the stigma of mental illness within families and the community, concerns about the treatment on offer (Gater et al., 2010) and attributing depression solely to social factors (Brown et al., 2011). It has been suggested that pathways to care for ethnic minority groups should therefore be ethnic specific and rely more heavily on nonstatutory sector services (Moffat et al., 2009). Information to build on guidance for service development is limited although new evidence on interventions in specific minority ethnic groups is emerging (Gater et al., 2010). The challenge for statutory services in facilitating effective interventions for self-harm in BME groups is to build collaborations between sectors sympathetic to cultural beliefs and assist referral routes between these services. Role of funding source This is an independent report on research funded by the Department of Health and the Policy Research Programme in the Department of Health. The views expressed are not necessarily those of the Department. Conflict of interest KH is a National Institute for Health Research Senior Investigator. NK is the Chair of the Guideline Development Group for the National Institute for Health and Clinical Excellence (NICE) guideline on the longer-term management of selfharm. No other authors have any conflict of interest. Acknowledgements The authors thank their respective research teams, clinical and administrative staff in Oxford, Manchester and Derby for assistance with self-harm data collection. References Bergen, H., Hawton, K., Waters, K., Cooper, J., Kapur, N., 2010a. Epidemiology and trends in non-fatal self-harm in three centres in England: 2000–2007. The British Journal of Psychiatry 197, 493–498. Bergen, H., Hawton, K., Waters, K., Cooper, J., Kapur, N., 2010b. Psychosocial assessment and repetition of self-harm: the significance of single and multiple repeat episode analyses. Journal of Affective Disorders 127, 257–265, http://dx.doi.org/10.1016/ j.jad.2010.05.001. Bhogal, K., Baldwin, D., Hartland, L., Nair, R., 2006. Brief communication: differences between ethnic groups in demographic and clinical features of patients 439 admitted and assessed after deliberate self-harm: a retrospective case-note study. The International Journal of Social Psychiatry 52, 483–486. Bhugra, D., Arya, P., 2005. Ethnic density, cultural congruity and mental illness in migrants. International Review of Psychiatry 17 (2) 133–137. Bhui, K., McKenzie, K., Rasul, F., 2007. Rates, risk factors, and methods of self harm among minority ethnic groups in the UK: a systematic review. BMC Public Health 19 (7), 336. Bowl, R., 2007. The need for change in UK mental health services: South Asian service users’ views. Ethnicity and Health 12, 1–19. Brown, J., Casey, S., Bishop, A., Prytys, M., Whitttinger, N., Weinman, J., 2011. How Black African and White British women perceive depression and help-seeking: a pilot vignette study. The International Journal of Social Psychiatry 57, 362–374. Cooper, J., Husain, N., Webb, R., Waheed, W., Kapur, N., Guthrie, E., Appleby, L., 2006. Self-harm in the UK: differences between South Asians and Whites in rates, characteristics, provision of service and repetition. Social Psychiatry and Psychiatric Epidemiology 41, 782–788. Cooper, J., Murphy, E., Webb, R., Hawton, K., Bergen, H., Waters, K., Kapur, N., 2010. Ethnic differences in self-harm, rates, characteristics and service provision: a cohort study comparing three English cities. The British Journal of Psychiatry 197, 212–218. Gardner, W., Mulvey, E.P., Shaw, E.C., 1995. Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models. Psychological Bulletin 118, 392–404. Gater, R., Waheed, W., Husain, N., Tomenson, B., Aseem, S., Creed, F., 2010. Social intervention for British Pakistani women with depression: randomised controlled trial. The British Journal of Psychiatry 197, 227–233. Kapur, N., Cooper, J., King-Hele, S., Webb, R., Lawlor, M., Rodway, C., Appleby, L., 2006. The repetition of suicidal behavior: a multicenter cohort study. The Journal of Clinical Psychiatry 67, 1599–1609. Kapur, N., Murphy, E., Cooper, J., Bergen, H., Hawton, K., Simkin, S., Casey, D., Horrocks, J., Lilley, R., Noble, R., Owens, D., 2008. Psychosocial assessment following self-harm: Results from the Multi-Centre Monitoring of Self-Harm Project. Journal of Affective Disorders 106, 285–293. Moffat, J., Sass, B., Mckenzie, K., Kamaldeep, B., 2009. Improving pathways into mental health care for black and ethnic minority groups: A systematic review of the grey literature. International Review of Psychiatry 21, 439–449. Murphy, E., Kapur, N., Webb, R., Purandare, N., Hawton, K., Bergen, H., Waters, K., Cooper, J., 2012. Multicentre cohort study of older adults who have harmed themselves: risk factors for repetition and suicide. The British Journal of Psychiatry 200, 399–404. National Institute for Health and Clinical Excellence (NICE), 2004. The short-term physical and psychological management and secondary prevention of selfharm in primary and secondary care. Clinical Guideline 16. Nazroo, J., Jackson, J., Karlsen, S., Torres, M., 2007. The Black diaspora and health inequalities in the US and England: does where you go and how you get there make a difference? Sociology of Health and Illness 29 (6), 811–830. Statacorp, 2007. Stata Statistical Software: Release 10.: Stata Corporation, College Station. Steeg, S., Kapur, N., Webb, R., Applegate, E., Stewart, S.L., Hawton, K., Bergen, H., Waters, K., Cooper, J., 2012. The development of a population-level clinical screening tool for self-harm repetition and suicide: the ReACT Self-Harm Rule. Psychological Medicine 42, 2383–2394..
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